{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NNNQMQQ2VVBGBW3RERHD6UKYAH","short_pith_number":"pith:NNNQMQQ2","canonical_record":{"source":{"id":"2306.06923","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T07:50:53Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"45cd7a88827c1ae96e65cb4b813291ea0a503308471d149d8ae82ac4d0c1a0ba","abstract_canon_sha256":"a661392d811d359bd71b8778e4936039fea7f7964664a8efd353fb851cd83f54"},"schema_version":"1.0"},"canonical_sha256":"6b5b06421aad4260db71244e3f515801ffffa2426352a6b189a103cb0e2a7a63","source":{"kind":"arxiv","id":"2306.06923","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06923","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06923v1","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06923","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"NNNQMQQ2VVBG","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"NNNQMQQ2VVBGBW3R","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"NNNQMQQ2","created_at":"2026-07-05T06:19:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NNNQMQQ2VVBGBW3RERHD6UKYAH","target":"record","payload":{"canonical_record":{"source":{"id":"2306.06923","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T07:50:53Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"45cd7a88827c1ae96e65cb4b813291ea0a503308471d149d8ae82ac4d0c1a0ba","abstract_canon_sha256":"a661392d811d359bd71b8778e4936039fea7f7964664a8efd353fb851cd83f54"},"schema_version":"1.0"},"canonical_sha256":"6b5b06421aad4260db71244e3f515801ffffa2426352a6b189a103cb0e2a7a63","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:19:45.712023Z","signature_b64":"N9edC4cRN0j+eZ0HpblZyebytultXJ9+fjQa8YFRredwEvwHOaFoIPgFx64+BDDxB0J8zHT5AvgSSfh521KWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6b5b06421aad4260db71244e3f515801ffffa2426352a6b189a103cb0e2a7a63","last_reissued_at":"2026-07-05T06:19:45.711630Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:19:45.711630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.06923","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uznxBoBoluhO1g7Mck8hErT0Vd4VzA99EZNw/kUrxGGkT0OsMFcdM4wT2HozgNBhTDPjYAxSpGg+F+6Z3m7jCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T01:34:34.090346Z"},"content_sha256":"78af24e97a13253c4e7b5d2a2d13fed7a35bdc07df94bfd7e59be23ec50cc7f3","schema_version":"1.0","event_id":"sha256:78af24e97a13253c4e7b5d2a2d13fed7a35bdc07df94bfd7e59be23ec50cc7f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NNNQMQQ2VVBGBW3RERHD6UKYAH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Viability of using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.LG","authors_text":"Xiaobo Sharon Hu, Yifan Qin, Yiyu Shi, Zheyu Yan","submitted_at":"2023-06-12T07:50:53Z","abstract_excerpt":"Deep Neural Networks (DNNs) have demonstrated impressive performance across a wide range of tasks. However, deploying DNNs on edge devices poses significant challenges due to stringent power and computational budgets. An effective solution to this issue is software-hardware (SW-HW) co-design, which allows for the tailored creation of DNN models and hardware architectures that optimally utilize available resources. However, SW-HW co-design traditionally suffers from slow optimization speeds because their optimizers do not make use of heuristic knowledge, also known as the ``cold start'' problem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06923","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.06923/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:19:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SsZzO4RdEiGjZyfBVsC512habCgOZs93n0nJ/BNSsA2KjIxK5jT4IEs+F7CZv2UF3GHuDMh81bZaucsASxD2AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T01:34:34.091128Z"},"content_sha256":"ab41d10002c87cc84fd82ec7fbca5a70f062b3d6f7682fd9b327aca4777e2b16","schema_version":"1.0","event_id":"sha256:ab41d10002c87cc84fd82ec7fbca5a70f062b3d6f7682fd9b327aca4777e2b16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NNNQMQQ2VVBGBW3RERHD6UKYAH/bundle.json","state_url":"https://pith.science/pith/NNNQMQQ2VVBGBW3RERHD6UKYAH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NNNQMQQ2VVBGBW3RERHD6UKYAH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-24T01:34:34Z","links":{"resolver":"https://pith.science/pith/NNNQMQQ2VVBGBW3RERHD6UKYAH","bundle":"https://pith.science/pith/NNNQMQQ2VVBGBW3RERHD6UKYAH/bundle.json","state":"https://pith.science/pith/NNNQMQQ2VVBGBW3RERHD6UKYAH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NNNQMQQ2VVBGBW3RERHD6UKYAH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NNNQMQQ2VVBGBW3RERHD6UKYAH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a661392d811d359bd71b8778e4936039fea7f7964664a8efd353fb851cd83f54","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T07:50:53Z","title_canon_sha256":"45cd7a88827c1ae96e65cb4b813291ea0a503308471d149d8ae82ac4d0c1a0ba"},"schema_version":"1.0","source":{"id":"2306.06923","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.06923","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"arxiv_version","alias_value":"2306.06923v1","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.06923","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_12","alias_value":"NNNQMQQ2VVBG","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_16","alias_value":"NNNQMQQ2VVBGBW3R","created_at":"2026-07-05T06:19:45Z"},{"alias_kind":"pith_short_8","alias_value":"NNNQMQQ2","created_at":"2026-07-05T06:19:45Z"}],"graph_snapshots":[{"event_id":"sha256:ab41d10002c87cc84fd82ec7fbca5a70f062b3d6f7682fd9b327aca4777e2b16","target":"graph","created_at":"2026-07-05T06:19:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2306.06923/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Neural Networks (DNNs) have demonstrated impressive performance across a wide range of tasks. However, deploying DNNs on edge devices poses significant challenges due to stringent power and computational budgets. An effective solution to this issue is software-hardware (SW-HW) co-design, which allows for the tailored creation of DNN models and hardware architectures that optimally utilize available resources. However, SW-HW co-design traditionally suffers from slow optimization speeds because their optimizers do not make use of heuristic knowledge, also known as the ``cold start'' problem","authors_text":"Xiaobo Sharon Hu, Yifan Qin, Yiyu Shi, Zheyu Yan","cross_cats":["cs.AR"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T07:50:53Z","title":"On the Viability of using LLMs for SW/HW Co-Design: An Example in Designing CiM DNN Accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.06923","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:78af24e97a13253c4e7b5d2a2d13fed7a35bdc07df94bfd7e59be23ec50cc7f3","target":"record","created_at":"2026-07-05T06:19:45Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a661392d811d359bd71b8778e4936039fea7f7964664a8efd353fb851cd83f54","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T07:50:53Z","title_canon_sha256":"45cd7a88827c1ae96e65cb4b813291ea0a503308471d149d8ae82ac4d0c1a0ba"},"schema_version":"1.0","source":{"id":"2306.06923","kind":"arxiv","version":1}},"canonical_sha256":"6b5b06421aad4260db71244e3f515801ffffa2426352a6b189a103cb0e2a7a63","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b5b06421aad4260db71244e3f515801ffffa2426352a6b189a103cb0e2a7a63","first_computed_at":"2026-07-05T06:19:45.711630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:19:45.711630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N9edC4cRN0j+eZ0HpblZyebytultXJ9+fjQa8YFRredwEvwHOaFoIPgFx64+BDDxB0J8zHT5AvgSSfh521KWCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:19:45.712023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.06923","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78af24e97a13253c4e7b5d2a2d13fed7a35bdc07df94bfd7e59be23ec50cc7f3","sha256:ab41d10002c87cc84fd82ec7fbca5a70f062b3d6f7682fd9b327aca4777e2b16"],"state_sha256":"7bffc5e9d799e977fc1d6e59dffce49379bf627afa7d10b43f3e36867559ee1f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pZUWL+Y/GurjcD6J3oxwv4Uf1IYua1HbbFAzAC93LU0uCOk0ccSiKmAT0J3RzsmGzgXsmeHQ72plvfOOdf9zCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T01:34:34.100358Z","bundle_sha256":"03e3e4e839e51c1bba1a6174f415ea4257e16994a73fcd890c07f977405b2bcf"}}